First published: Fri Nov 05 2021(Updated: )
### Impact The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L194-L241) of `SparseFillEmptyRows` can be made to trigger a heap OOB access: ```python import tensorflow as tf data=tf.raw_ops.SparseFillEmptyRows( indices=[[0,0],[0,0],[0,0]], values=['sssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss'], dense_shape=[5,3], default_value='o') ``` This occurs whenever the size of `indices` does not match the size of `values`. ### Patches We have patched the issue in GitHub commit [67bfd9feeecfb3c61d80f0e46d89c170fbee682b](https://github.com/tensorflow/tensorflow/commit/67bfd9feeecfb3c61d80f0e46d89c170fbee682b). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.
Credit: security-advisories@github.com security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | <2.4.4 | |
Google TensorFlow | >=2.5.0<2.5.2 | |
Google TensorFlow | >=2.6.0<2.6.1 | |
pip/tensorflow-gpu | <2.4.4 | 2.4.4 |
pip/tensorflow-gpu | >=2.5.0<2.5.2 | 2.5.2 |
pip/tensorflow-gpu | >=2.6.0<2.6.1 | 2.6.1 |
pip/tensorflow-cpu | <2.4.4 | 2.4.4 |
pip/tensorflow-cpu | >=2.5.0<2.5.2 | 2.5.2 |
pip/tensorflow-cpu | >=2.6.0<2.6.1 | 2.6.1 |
pip/tensorflow | <2.4.4 | 2.4.4 |
pip/tensorflow | >=2.5.0<2.5.2 | 2.5.2 |
pip/tensorflow | >=2.6.0<2.6.1 | 2.6.1 |
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TensorFlow is an open source platform for machine learning.
The vulnerability ID is CVE-2021-41224.
The severity of CVE-2021-41224 is high with a CVSS score of 7.1.
TensorFlow versions up to 2.4.4, 2.5.0 to 2.5.2, and 2.6.0 to 2.6.1 are affected by CVE-2021-41224.
The fix for CVE-2021-41224 will be included in TensorFlow 2.7.0.